Cw-zero / Tensorrt_yolo3
use TensorRT accelerate yolo3
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Update on 2019-04-19
- I have optimized and upgraded this project. So：
- If you see this project for the first time, you can jump to This project directly.
- If you meet some bug on this project,you can try This project.
Use TensorRT accelerate yolo3
1. How to run this project
- a. Download yolo3.weight from this, and change the name to yolov3-608.weights.
- b.
python yolov3_to_onnx.py, you will have a file named yolov3-608.onnx - c.
python onnx_to_tensorrt.py,you can get the result of detections.
2. Performance compare
-
a.You can download and run this project, which our project is changed from it. It detection speed is about 100ms per image.
-
b.Our project speed is about 62ms per image
3.Others
- If you are more familiar with Chinese, you can refer to this blog(https://www.cnblogs.com/justcoder/), which has more details.
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